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Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Westinghouse’s lunar microreactor concept gets a contract for continued R&D
Westinghouse Electric Company announced last week that NASA and the Department of Energy have awarded the company a contract to continue developing a lunar microreactor concept for the Fission Surface Power (FSP) project.
Hiroki Takezawa, Toru Obara
Nuclear Science and Engineering | Volume 171 | Number 1 | May 2012 | Pages 1-12
Technical Paper | doi.org/10.13182/NSE09-59
Articles are hosted by Taylor and Francis Online.
This work aims to show the possibility of using the integral kinetic model, which is applicable to any geometry, for general space-dependent kinetic analysis. A space-dependent kinetic analysis methodology and code were developed based on the integral kinetic model. The developed kinetic analysis code was verified by comparing results from the developed code with the one-point model in the Godiva reactor geometry. It is possible to explain discrepancies between the two kinetic models using error introduced into Cij() in the fitting process of original Monte Carlo data Cij(kΔ). This is because the fitting error changes the mean generation time of a system. The verification concluded that it is important to always monitor the fitting error introduced to Cij() in order to understand the calculation results of the developed code. The space-dependent kinetic analysis code was also demonstrated in a fast-thermal coupled reactor geometry including feedback effects. The demonstration results showed a time difference in kinetic behaviors between a fast region and a thermal region that was theoretically expected to appear. In conclusion, this work shows a new approach to solving general space-dependent kinetic problems by using the integral kinetic model including feedback effects.